Error analysis for a second order approximation of a viscoelastic phase separation model

Abstract We consider a systematic numerical approximation of a viscoelastic phase separation model that describes the demixing of a polymer-solvent mixture. An unconditionally stable discretisation method is proposed based on a finite element approximation in space and a variational time discretization strategy. The proposed method preserves the energy-dissipation structure of the underlying system exactly and allows us to establish a fully discrete nonlinear stability estimate in natural norms based on the concept of relative energy. These estimates are used to derive order optimal error estimates for the method under minimal smoothness assumptions on the problem data, despite the presence of various strong nonlinearities in the equations. The theoretical results and main properties of the method are illustrated by numerical simulations, which also demonstrate the capability to reproduce the relevant physical effects observed in experiments.

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Publication Details

Journal
Numerische Mathematik
Published
2025-08-30
DOI
https://doi.org/10.1007/s00211-025-01488-1
Citations
1
Primary Topic
Advanced Mathematical Modeling in Engineering
Type
article
Field-Weighted Citation Impact
1.50

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article

Error analysis for a second order approximation of a viscoelastic phase separation model

Aaron Brunk, Herbert Egger, Mária Lukáčová–Medvid’ová, Oliver Habrich
1 citations
Numerische Mathematik
Advanced Mathematical Modeling in Engineering
1.50
article

Error analysis for a second order approximation of a viscoelastic phase separation model

Aaron Brunk, Herbert Egger, Mária Lukáčová–Medvid’ová, Oliver Habrich
article en
1 citations

Abstract

Abstract We consider a systematic numerical approximation of a viscoelastic phase separation model that describes the demixing of a polymer-solvent mixture. An unconditionally stable discretisation method is proposed based on a finite element approximation in space and a variational time discretization strategy. The proposed method preserves the energy-dissipation structure of the underlying system exactly and allows us to establish a fully discrete nonlinear stability estimate in natural norms based on the concept of relative energy. These estimates are used to derive order optimal error estimates for the method under minimal smoothness assumptions on the problem data, despite the presence of various strong nonlinearities in the equations. The theoretical results and main properties of the method are illustrated by numerical simulations, which also demonstrate the capability to reproduce the relevant physical effects observed in experiments.

Numerische MathematikVol. 157(5)
Johannes Kepler University of Linz (AT), Johannes Gutenberg University Mainz (DE), Johann Radon Institute for Computational and Applied Mathematics (AT)
Deutsche Forschungsgemeinschaft, Gutenberg Forschungskolleg
Openalex Percentile: Top 14%
Advanced Mathematical Modeling in Engineering
1.50
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Error analysis for a second order approximation of a viscoelastic phase separation model — Aaron Brunk, Herbert Egger, et al. · Numerische Mathematik (2025) | TGRS Research Map | TGRS